Evidence map›Paper›PMID 34819031›Full record

ArticleBMC genomics2021

Benchmarking different approaches for Norovirus genome assembly in metagenome samples.

Azahara Fuentes-Trillo, Carolina Monzó, Iris Manzano, Cristina Santiso-Bellón, Juliana da Silva Ribeiro de Andrade, Roberto Gozalbo-Rovira, Ana-Bárbara García-García, Jesús Rodríguez-Díaz, Felipe Javier Chaves

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Azahara Fuentes-TrilloUnit of Genomics and Diabetes. Research Foundation of Valencia University Clinical Hospital- INCLIVA, Valencia, Spain.
Carolina MonzóUnit of Genomics and Diabetes. Research Foundation of Valencia University Clinical Hospital- INCLIVA, Valencia, Spain.
Iris ManzanoUnit of Genomics and Diabetes. Research Foundation of Valencia University Clinical Hospital- INCLIVA, Valencia, Spain.
Cristina Santiso-BellónDepartment of Microbiology, School of Medicine, University of Valencia, Valencia, Spain.
Juliana da Silva Ribeiro de AndradeLaboratory of Comparative and Environmental Virology, Oswaldo Cruz Institute, Rio de Janeiro, Brazil.
Roberto Gozalbo-RoviraDepartment of Microbiology, School of Medicine, University of Valencia, Valencia, Spain.
Ana-Bárbara García-GarcíaUnit of Genomics and Diabetes. Research Foundation of Valencia University Clinical Hospital- INCLIVA, Valencia, Spain. a.barbara.garcia@ext.uv.es.
Jesús Rodríguez-Díaz *Department of Microbiology, School of Medicine, University of Valencia, Valencia, Spain.
Felipe Javier Chaves *Unit of Genomics and Diabetes. Research Foundation of Valencia University Clinical Hospital- INCLIVA, Valencia, Spain.
INCLIVA Health Research Institute · ESUniversitat de València · ESFundação Oswaldo Cruz · BRMultiverse Computing (Spain) · ES

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Generalitat Valenciana ACIF/2018/30Generalitat Valenciana ACIF/2018/303Ministerio de Economía, Industria y Competitividad, Gobierno de España AGL2014-52996-C2-2-RMinisterio de Economía, Industria y Competitividad, Gobierno de España RYC-2013-12442
6 · The paper itself

Abstract

backgroundGenome assembly of viruses with high mutation rates, such as Norovirus and other RNA viruses, or from metagenome samples, poses a challenge for the scientific community due to the coexistence of several viral quasispecies and strains. Furthermore, there is no standard method for obtaining whole-genome sequences in non-related patients. After polyA RNA isolation and sequencing in eight patients with acute gastroenteritis, we evaluated two de Bruijn graph assemblers (SPAdes and MEGAHIT), combined with four different and common pre-assembly strategies, and compared those yielding whole genome Norovirus contigs.

resultsReference-genome guided strategies with both host and target virus did not present any advantages compared to the assembly of non-filtered data in the case of SPAdes, and in the case of MEGAHIT, only host genome filtering presented improvements. MEGAHIT performed better than SPAdes in most samples, reaching complete genome sequences in most of them for all the strategies employed. Read binning with CD-HIT improved assembly when paired with different analysis strategies, and more notably in the case of SPAdes.

conclusionsNot all metagenome assemblies are equal and the choice in the workflow depends on the species studied and the prior steps to analysis. We may need different approaches even for samples treated equally due to the presence of high intra host variability. We tested and compared different workflows for the accurate assembly of Norovirus genomes and established their assembly capacities for this purpose.

Indexed as

MetagenomeNorovirusAlgorithmsBenchmarkingHumansMetagenomicsSequence AnalysisSequence Analysis, DNASoftwareGenome de-novo assemblyMetagenomicsNorovirus

Identifiers

PMID34819031
PMCPMC8611953
OpenAlexW3216172746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.